Philippe Vieu
Impact in
- Statistics and Probability top 0.02%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Finance top 1%
- Financial Risk and Volatility Modeling
Papers in
-
- Statistical Methods and Inference 96
- Advanced Statistical Methods and Models 51
- Statistical Methods and Bayesian Inference 23
-
- Bayesian Methods and Mixture Models 24
- Co-authors
- Frédéric Ferraty (36 shared papers)Germán Aneiros (28 shared papers)Aldo Goia (7 shared papers)Ali Laksaci (7 shared papers)Nengxiang Ling (12 shared papers)Mustapha Rachdi (7 shared papers)Jeffrey D. Hart (2 shared papers)Wolfgang Karl Härdle (2 shared papers)
In The Last Decade
Philippe Vieu
115 papers receiving 5.4k citations
Philippe Vieu's Hit Papers
Peers
Comparison fields: 5 of 147
- Statistics and Probability 4.3k
- Finance 656
- Artificial Intelligence 1.9k
- Statistics, Probability and Uncertainty 393
- Analytical Chemistry 388
Countries citing papers authored by Philippe Vieu
This map shows the geographic impact of Philippe Vieu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Philippe Vieu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Vieu more than expected).
Fields of papers citing papers by Philippe Vieu
This network shows the impact of papers produced by Philippe Vieu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Philippe Vieu. The network helps show where Philippe Vieu may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Vieu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nonparametric functional data analysis : theory and practice Hit paper breakdown → | 2006 | 670 |
| 2 | Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics) | 2006 | 395 |
| 3 | 2003 | 209 | |
| 4 | 2002 | 180 | |
| 5 | 2015 | 163 | |
| 6 | 2005 | 162 | |
| 7 | 2007 | 158 | |
| 8 | 1990 | 144 | |
| 9 | 2001 | 139 | |
| 10 | 2009 | 135 | |
| 11 | 1992 | 134 | |
| 12 | 2004 | 122 | |
| 13 | 2006 | 116 | |
| 14 | 2007 | 111 | |
| 15 | 2009 | 111 | |
| 16 | 2018 | 109 | |
| 17 | 2008 | 96 | |
| 18 | 2018 | 93 | |
| 19 | 2009 | 92 | |
| 20 | 2006 | 91 |
About Philippe Vieu
Philippe Vieu is a scholar working on Statistics and Probability, Artificial Intelligence, Control and Systems Engineering, Finance and Applied Mathematics, having authored 119 papers that have together received 5.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (96 papers), Advanced Statistical Methods and Models (51 papers), Bayesian Methods and Mixture Models (24 papers), Statistical Methods and Bayesian Inference (23 papers), Control Systems and Identification (18 papers), Financial Risk and Volatility Modeling (12 papers), Statistical and numerical algorithms (9 papers) and Spectroscopy and Chemometric Analyses (8 papers). The work is most often cited by research in Statistics and Probability (4.3k citations), Finance (656 citations), Artificial Intelligence (1.9k citations), Statistics, Probability and Uncertainty (393 citations) and Analytical Chemistry (388 citations). Philippe Vieu has collaborated with scholars based in France, Spain and China. Frequent co-authors include Frédéric Ferraty, Germán Aneiros, Aldo Goia, Ali Laksaci, Nengxiang Ling, Mustapha Rachdi, Jeffrey D. Hart, Wolfgang Karl Härdle, André Mas and Wenceslao González–Manteiga. Their work appears in journals such as Journal of Multivariate Analysis, Test, Comptes Rendus Mathématique, Journal of Statistical Planning and Inference and Computational Statistics & Data Analysis.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.